Financial Machine Learning
A curated list of practical financial machine learning tools, applications, and research repositories.
What is Financial Machine Learning?
Financial Machine Learning is a curated directory and knowledge base of open-source projects, libraries, and research materials specifically for applying machine learning in finance. It aggregates and ranks repositories across domains like algorithmic trading, deep learning, portfolio management, and data processing, providing a centralized resource for practitioners. The project also showcases related research initiatives from its parent organization, Sov.ai, focusing on advanced quantitative investment strategies.
Quantitative researchers, data scientists, algorithmic traders, and finance professionals seeking vetted, practical open-source tools and research in financial machine learning. It is also valuable for academics and students exploring applied ML in finance.
It saves significant time by curating and ranking the most relevant and high-quality financial ML repositories from GitHub, updated daily. Unlike generic lists, it provides structured categories, detailed wikis, and focuses exclusively on practical, implementable tools for the finance domain.
Overview
A curated list of practical financial machine learning tools and applications.
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